İNSAN KAYNAKLARI YÖNETİMİNDE YAPAY ZEKÂNIN YÜKSELİŞİ: BİBLİYOMETRİK BİR ANALİZ

Öz

Bu çalışma, yapay zekânın (YZ) insan kaynakları yönetimi (İKY) üzerindeki rolünü bibliyometrik analiz yöntemiyle inceleyerek, üç temel araştırma sorusunun yanıtını aramaktadır: (1) YZ teknolojileri İKY araştırmalarını nasıl dönüştürmektedir? (2) YZ-İKY ile ilgili araştırmalarda öne çıkan anahtar temalar ve konular nelerdir? (3) YZ-İKY literatüründe en çok atıf alan çalışmalar ve bu çalışmaların temel özellikleri nelerdir? Araştırmanın örneklemi 2004-2024 yılları arasında Scopus veri tabanında yayımlanan 1153 yayından oluşmaktadır. Analizde Biblioshiny (R tabanlı bibliyometrik analiz yazılımı) kullanılarak atıf analizi, h-indeksi, Lotka Yasası, tematik haritalama ve ortak yazarlık ağı analizleri uygulanmıştır. Bulgular, 2018’den itibaren YZ-İKY çalışmalarının arttığını, 2022 itibariyle ise belirgin bir yükseliş başladığını göstermektedir. Yayın sayısındaki artışa rağmen, hâlâ baskın bir çekirdek araştırmacı grubunun oluşmadığı görülmektedir. Uluslararası iş birliği ağı analizleri, ABD, Hindistan ve Çin’in alanda öncü konumda olduğunu, Türkiye’nin ise akademik üretkenlik açısından geride kaldığını göstermektedir. Çalışma, YZ-İKY araştırmalarındaki mevcut araştırma eğilimlerini ortaya koymakta ve gelecekteki araştırmalar için rehber niteliğinde öneriler sunmaktadır.

Anahtar Kelimeler

• Yapay Zekâ
• Dijitalleşme
• İnsan Kaynakları Yönetimi
• Tematik Haritalama
• Bibliyometrik Analiz
• YZ-İKY

THE RISE OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT: A BIBLIOMETRIC ANALYSIS

Öz

This study examines the role of artificial intelligence (AI) on human resource management (HRM) through bibliometric analysis (R-based bibliometric analysis software), addressing three key questions: (1) How are AI technologies transforming HRM research? (2) What are the key themes and topics prominent in AI-HRM-related research? (3) What are the most cited studies in AI-HRM literature, and what are the main characteristics of these studies? The analysis includes 1153 publications from the Scopus database between 2004-2024, utilizing citation analysis, h-index, Lotka's Law, thematic mapping, and co-authorship network analysis via Biblioshiny software. The findings reveal a significant increase in AI-HRM studies starting around 2018, with substantial growth beginning in 2022. No dominant core group of researchers has emerged. While the US, India, and China lead in collaboration worldwide, Türkiye demonstrates comparatively lower academic output. The study demonstrates current advances in AI-HRM research and offers potential opportunities for further studies.

Anahtar Kelimeler

• Artificial Intelligence
• Digitalization
• Human Resource Management
• Thematic Mapping
• Bibliometric Analysis
• AI-HRM

Kaynakça

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